With the commercial light field (LF) cameras (e.g., Lytro and RayTrix) being commonly used in the market, 4D LF images have many applications such as post-capture refocusing [1]}, [2]}, depth inference [3]}, [4]}, [5]}, [6]}, 3D reconstruction [7]}, [8]}, and de-occlusion [9]}. Although 4D LF images provide both spatial and angular information, the low spatial resolution is an essential problem in exploiting their advantage. Consequently, image super-resolution (SR) algorithms have been widely investigated to enhance the spatial resolution of LF images.
